The goal of this study is to develop and evaluate machine learning predictive models for predicting heart failure survival.
age: Age of the patient anaemia: Haemoglobin level of patient (Boolean) creatinine_phosphokinase: Level of the CPK enzyme in the blood (mcg/L) diabetes: If the patient has diabetes (Boolean) ejection_fraction: Percentage of blood leaving the heart at each contraction high_blood_pressure: If the patient has hypertension (Boolean) platelets: Platelet count of blood (kiloplatelets/mL) serum_creatinine: Level of serum creatinine in the blood (mg/dL) serum_sodium: Level of serum sodium in the blood (mEq/L) sex: Sex of the patient smoking: If the patient smokes or not (Boolean) time: Follow-up period (days) DEATH_EVENT: If the patient deceased during the follow-up period (Boolean) [Attributes having Boolean values: 0 = Negative (No); 1 = Positive (Yes)]